RQ 1 - A
Column
First Iteration
Second Iteration
Final Iteration 1
Final Iteration 2
RQ1 - B
Column
Teacher population by race and ethnicity
Student and Teacher of Color
Student and Teacher of Color
RQ1 - C
Column
Change from 2018-2020 - Iteration 1
Change from 2018-2020 - Iteration 2
Change during Covid - Iteration 1
Change during Covid - Iteration 2
RQ2 RLA
Column 1
Research Question
How does the the proficiency level in Reading and Language skill vary across state for High School Students? How does it differ by students characteristics such as English Learner status, Student with Disability, Low Income students?
Data Source: State Assessments in Reading/Language Arts and Mathematics- School Year 2018-19 EDFacts Data Documentation, U.S. Department of Education, Washington, DC: EDFacts. Retrieved February 2, 2022 from http://www.ed.gov/edfacts
Column
Percent of students at and above Reading and Languange Proficiency Level based on characteristics across the States
I decided to use map graph to visualize the achievement gap of students with disability, EL students, and Low-income students compared to their peers. This way, audience can compare each state math achievement across all categories as well as able to perceive the intensity of gap with heatmap color for easier interpretation.
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A. Children with disability
The goal of these bar plots is to show achievement gap of students with disability, EL students, and Low-income students compared to their peers. In the previos set of plots, the bar was presented on its own. I decided to add the all students average in grey as the background for easier comparison. However, I want people to be able to compare the difference all at once in one frame.
B. English language learner
C. Economically disadvantaged students
D. All Students
RQ2 Math
Column 1
Research Question
How does the the proficiency level in math vary across state for High School Students? Also, how does it vary across the US regions (i.e Midwest, Northeast, South, and West)?
Data Source: State Assessments in Reading/Language Arts and Mathematics- School Year 2018-19 EDFacts Data Documentation, U.S. Department of Education, Washington, DC: EDFacts. Retrieved February 2, 2022 from http://www.ed.gov/edfacts
Column
Math Proficiency by Regions
The south region has relatively high percentage of students at and above Math proficiency, in contrast, the West region has relatively low percentage of students at and above Math proficiency. There is no clear pattern for Midwest and Northeast regions as there is large variation of Math profiency within these regions.
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Diverging Bars for Math Scores
Another way to display the variation of Math proficiency skill across states is by showing how far the state mean diverge above and below the national mean. I like the simplicity of this map instead of the previous one and chose red color to represent below the average and green color to represent above the average. I think this map is easier to understand for general audience.
Diverging Lollipop Chart - Math
This is the initial diverging plot that includes anotated state mean difference relative to national average. However, the number is too small and the information has already displayed through the geom_segment() line. I decided to use the other diverging bar plot.
RQ2 Textbook Spending
Column 1
Research Question
How does the the proficiency level in Reading and Language skill vary across state for High School Students? How does it differ by students characteristics such as English Learner status, Student with Disability, Low Income students?
Data Source: Distric Fiscal documentation 2018 School year 2019 Retrieved February 2, 2022.
On Average, Indiana spent the most on textbook per student at $107, while Hawaii spent the least on textbook per student at $14.
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Textbook spending across the US
The average spending per students in district level is aggregated at the state level. Since we will calculate the textbook spending and student achievement only in state level, I decided to have to state-level map as the final version.
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Indiana
Initially, we wanted to present overall district spending per student in one large US map. However, we had two problems with the plan. 1. The amount of time to render the plot is too long and 2. Too many information in one map and it might distract our audience from our main goal. We decided to have each state district spending and play around with ggplotly function where audience can zoom in and out easily.
Virginia
West Virginia
Oregon
Oregon Colorblind Friendly Version
Color-blind OR Plot
RQ2 Achievement vs Spending
Column 1
Research Question
What is the relationship between District Textbook Funding per Student and Students’ Math and RLA achievements?
Data Source: State Assessments in Reading/Language Arts and Mathematics- School Year 2018-19 EDFacts Data Documentation, U.S. Department of Education, Washington, DC: EDFacts. Retrieved February 2, 2022 from http://www.ed.gov/edfacts
Column
Math & Textbook Spending
States with relatively low spending on textbook have lower percentage students at and above Math proficiency level.
This is my final plot where I added a linear line and annotated the correlation between Textbook spending and Math achievement. I highlighted the 3 top and bottom states based on their Math achievement and colored the rest of the states with gray and a degree of transparency. This plot is simple and highlighted the most important information.
RLA & Textbook Spending
Borrowing the existing template from another github, I tried to visualize the relationship between textbook spending and RLA achievement. I added the size function on geom_point to display amount of textbook spending. Eventhough the plot is pretty, the size of the point is a hard to discriminate.
RLA & Textbook Spending (Raw LM)
This is the initial plot when I tried to visualize the relationship between achievemen and textbook spending. Although all information is there, this map is too crowded with information of state name.
Column
Option 1
I like the simplicity of this plot and the national average dashed line, however, the geom_point size displaying textbook spending per student is hard to differenciate and overlapped with each other.
Math & Achievement gghighlight
This plot is clean and interesting to see because I could highlight selected state based on upper and lower criteria I specified in my code. However, I only want to use two different colors to distinguish the 3 top and lower states. A variety of color on the circle and state names are a little bit too distracting.
Research Question 3
Column 1
Variables:
LEAID - ID number for each school district
total - Total number of students in a school district
textbk_exp_per_student - Textbook Expenditure per Student
percentM - Percent of student population in a school district identifying as minorities
percentW - Percent of student population in a school district identifying as white
Data Source: https://usafacts.org/
Column 2
Correlation Coefficients Table
| Total Number of Students per District | Textbook Expenditure per Student | Percent of Student Population Identifying as Minority | Percent of Student Population Identifying as White | |
|---|---|---|---|---|
| total | ||||
| textbk_exp_per_student | 0.00 | |||
| percentM | 0.21*** | 0.05*** | ||
| percentW | -0.21*** | -0.05*** | -1.00*** |
Initial Scatterplot
Scatterplot for Minority Students
Scatterplot for White Students
Column 3
Lowerbound Correlation Matrix
The ovals display the type of correlation direction, but there are no significance asterisks included for the correlations.
Initial Full Correlation Matrix
This initial version seems to busy with the large vs. small font sizes and red lines.
Second Full Correlation Matrix
This correlation matrix is missing the lines from the scatterplots, but it is cleaner visually with some overlap in x-axis labels.
Final Full Correlation Matrix
The color is more easily changed via the pairs.panels function.